Procesamiento por lotes sencillo
Cuando trabaja de forma interactiva en una sesión MATLAB®, puede descargar el trabajo a una sesión de MATLAB para ejecutarlo como un trabajo por lotes. El comando para realizar este trabajo es asincrónico, lo que significa que la sesión de su cliente MATLAB no está bloqueada y puede continuar su propia sesión interactiva mientras el worker MATLAB está ocupado evaluando su código. También puede crear un grupo de workers para su trabajo por lotes. Los workers pueden ejecutarse en la misma máquina que el cliente o, si usan MATLAB Parallel Server™, en una máquina de clúster remota.
Funciones
Ejemplos y procedimientos
- Choose Batch Processing Function
Decide which batch programming construct to use to offload work to a cluster.
- Run Batch Parallel Jobs
Use batch to offload work from your MATLAB session to run in the background.
- Run Batch Job and Access Files from Workers
Run functions as batch jobs and control options, such as accessing files from workers.
- Share Code with Workers
Find out how to pass data and code to and from the workers.
- Control Random Number Streams on Workers
The random number generation functions
rand,randi, andrandnbehave differently for parallel calculations compared to your MATLAB client. - Use batch to Train Multiple Deep Learning Networks (Deep Learning Toolbox)
This example shows how to train multiple networks in batch jobs using a cluster so that you can continue working or close MATLAB® during training.
- Monitor Batch Jobs with ValueStore
This example shows how to monitor the progress of a batch job by using
ValueStore. - Monitor Monte Carlo Batch Jobs with ValueStore
This example shows how to monitor a Monte Carlo batch job during execution by using
ValueStore.
Conceptos
- Job Monitor
Manage your jobs using the Job Monitor.
Ejemplos destacados
Run Script as Batch Job
Use batch to offload work to a MATLAB® worker session that runs in the background.
Run Batch Job and Access Files from Workers
Run functions as batch jobs and control options, such as accessing files from workers.
Monitor Monte Carlo Batch Jobs with ValueStore
Monitor a Monte Carlo batch job during execution by using ValueStore.
